Senior Devops Engineer (ai Ops)

Adobe Adobe · Enterprise · San Jose, CA

Senior DevOps Engineer specializing in AI Ops to own infrastructure provisioning, CI/CD automation, telemetry pipelines, and production deployment for AI-powered services, agents, and orchestration systems. The role focuses on building and operating infrastructure for reliable, observable, and scalable AI systems in production, with SRE responsibilities for ensuring reliability, resilience, scalability, security, and cost-effectiveness.

What you'd actually do

  1. Design and manage cloud infrastructure using Infrastructure as Code (Terraform, etc.)
  2. Build and maintain CI/CD pipelines for AI Services, Agent Frameworks, Orchestrators, and Model Artifacts
  3. Package, version, and deploy models and agent services in containerized environments while managing artifact promotion across environments.
  4. Design and operate scalable pipelines for collecting and processing logs, metrics, traces, and operational events.
  5. Implement intelligent monitoring, automated incident response, model lifecycle governance, and data-driven operational insights.

Skills

Required

  • DevOps
  • SRE
  • Cloud Infrastructure Management
  • Infrastructure as Code (Terraform)
  • Kubernetes
  • CI/CD Automation
  • AI Service Deployment
  • Agent Framework Deployment
  • Model Deployment
  • Telemetry Pipelines
  • Observability
  • Monitoring
  • Incident Response
  • Model Lifecycle Governance

Nice to have

  • Cost Optimization

What the JD emphasized

  • AI-powered services
  • agents
  • orchestration systems
  • AI Ops
  • model lifecycle governance
  • production deployment
  • AI systems in production
  • AI services
  • agent services

Other signals

  • AI-powered services
  • agents
  • orchestration systems
  • model lifecycle governance
  • AI Ops